Customer Churn – Training Data Profile

Dataset statistics

Number of variables	12
Number of observations	440833
Missing cells	12
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	110.1 MiB
Average record size in memory	262.0 B

Variable types

Numeric	8
Categorical	4

Alerts

`Churn` is highly overall correlated with `CustomerID` and 1 other fields	High correlation
`CustomerID` is highly overall correlated with `Churn`	High correlation
`Support Calls` is highly overall correlated with `Churn`	High correlation
`Support Calls` has 69875 (15.9%) zeros	Zeros
`Payment Delay` has 16904 (3.8%) zeros	Zeros

Reproduction

Analysis started	2025-12-16 17:54:06.886476
Analysis finished	2025-12-16 17:54:39.870801
Duration	32.98 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

CustomerID
Real number (ℝ)

High correlation

Distinct	440832
Distinct (%)	100.0%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	225398.67

Minimum	2
Maximum	449999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	2
5-th percentile	22050.55
Q1	113621.75
median	226125.5
Q3	337739.25
95-th percentile	425905.45
Maximum	449999
Range	449997
Interquartile range (IQR)	224117.5

Descriptive statistics

Standard deviation	129531.92
Coefficient of variation (CV)	0.57467917
Kurtosis	-1.2006439
Mean	225398.67
Median Absolute Deviation (MAD)	112049.5
Skewness	-0.018485823
Sum	9.9362946 × 10¹⁰
Variance	1.6778518 × 10¹⁰
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
Other values (440822)	440822	> 99.9%

Value	Count	Frequency (%)
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
449999	1	< 0.1%
449998	1	< 0.1%
449997	1	< 0.1%
449996	1	< 0.1%
449995	1	< 0.1%
449994	1	< 0.1%
449993	1	< 0.1%
449992	1	< 0.1%
449991	1	< 0.1%
449990	1	< 0.1%

Age
Real number (ℝ)

Distinct	48
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	39.373153

Minimum	18
Maximum	65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	18
5-th percentile	20
Q1	29
median	39
Q3	48
95-th percentile	61
Maximum	65
Range	47
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	12.442369
Coefficient of variation (CV)	0.3160115
Kurtosis	-0.86485336
Mean	39.373153
Median Absolute Deviation (MAD)	9
Skewness	0.16201568
Sum	17356946
Variance	154.81256
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
50	13527	3.1%
42	12578	2.9%
40	12417	2.8%
48	12379	2.8%
47	12369	2.8%
46	12368	2.8%
44	12344	2.8%
49	12331	2.8%
41	12314	2.8%
43	12298	2.8%
Other values (38)	315907	71.7%

Value	Count	Frequency (%)
18	8219	1.9%
19	8073	1.8%
20	9553	2.2%
21	9574	2.2%
22	9639	2.2%
23	9513	2.2%
24	9465	2.1%
25	9647	2.2%
26	9692	2.2%
27	9472	2.1%

Value	Count	Frequency (%)
65	5460	1.2%
64	5496	1.2%
63	5560	1.3%
62	5288	1.2%
61	5407	1.2%
60	5430	1.2%
59	5573	1.3%
58	5373	1.2%
57	5361	1.2%
56	5477	1.2%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	26.0 MiB

Male	250252
Female	190580

Length

Max length	6
Median length	4
Mean length	4.8646378
Min length	4

Characters and Unicode

Total characters	2144488
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	250252	56.8%
Female	190580	43.2%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	250252	56.8%
female	190580	43.2%

Most occurring characters

Value	Count	Frequency (%)
e	631412	29.4%
a	440832	20.6%
l	440832	20.6%
M	250252	11.7%
F	190580	8.9%
m	190580	8.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2144488	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	631412	29.4%
a	440832	20.6%
l	440832	20.6%
M	250252	11.7%
F	190580	8.9%
m	190580	8.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2144488	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	631412	29.4%
a	440832	20.6%
l	440832	20.6%
M	250252	11.7%
F	190580	8.9%
m	190580	8.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2144488	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	631412	29.4%
a	440832	20.6%
l	440832	20.6%
M	250252	11.7%
F	190580	8.9%
m	190580	8.9%

Tenure
Real number (ℝ)

Distinct	60
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	31.256336

Minimum	1
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	16
median	32
Q3	46
95-th percentile	58
Maximum	60
Range	59
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	17.255727
Coefficient of variation (CV)	0.55207135
Kurtosis	-1.192523
Mean	31.256336
Median Absolute Deviation (MAD)	15
Skewness	-0.06140161
Sum	13778793
Variance	297.76013
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	7828	1.8%
49	7815	1.8%
56	7812	1.8%
55	7777	1.8%
33	7770	1.8%
52	7769	1.8%
30	7750	1.8%
47	7747	1.8%
48	7737	1.8%
57	7735	1.8%
Other values (50)	363092	82.4%

Value	Count	Frequency (%)
1	6407	1.5%
2	6575	1.5%
3	6417	1.5%
4	6606	1.5%
5	6669	1.5%
6	7704	1.7%
7	7569	1.7%
8	7670	1.7%
9	7534	1.7%
10	7674	1.7%

Value	Count	Frequency (%)
60	7658	1.7%
59	7597	1.7%
58	7669	1.7%
57	7735	1.8%
56	7812	1.8%
55	7777	1.8%
54	7606	1.7%
53	7665	1.7%
52	7769	1.8%
51	7594	1.7%

Usage Frequency
Real number (ℝ)

Distinct	30
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	15.807494

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	9
median	16
Q3	23
95-th percentile	29
Maximum	30
Range	29
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.5862416
Coefficient of variation (CV)	0.5431754
Kurtosis	-1.1758148
Mean	15.807494
Median Absolute Deviation (MAD)	7
Skewness	-0.043473478
Sum	6968449
Variance	73.723546
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
11	15311	3.5%
29	15284	3.5%
20	15258	3.5%
25	15237	3.5%
30	15232	3.5%
21	15205	3.4%
19	15204	3.4%
12	15179	3.4%
26	15134	3.4%
15	15129	3.4%
Other values (20)	288659	65.5%

Value	Count	Frequency (%)
1	13797	3.1%
2	13633	3.1%
3	13843	3.1%
4	13549	3.1%
5	13716	3.1%
6	13746	3.1%
7	13555	3.1%
8	13725	3.1%
9	13770	3.1%
10	15090	3.4%

Value	Count	Frequency (%)
30	15232	3.5%
29	15284	3.5%
28	15012	3.4%
27	15121	3.4%
26	15134	3.4%
25	15237	3.5%
24	15038	3.4%
23	15072	3.4%
22	15005	3.4%
21	15205	3.4%

Support Calls
Real number (ℝ)

High correlation Zeros

Distinct	11
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	3.6044366

Minimum	0
Maximum	10
Zeros	69875
Zeros (%)	15.9%
Negative	0
Negative (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	6
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.0702179
Coefficient of variation (CV)	0.85178856
Kurtosis	-0.74591196
Mean	3.6044366
Median Absolute Deviation (MAD)	2
Skewness	0.66680851
Sum	1588951
Variance	9.4262378
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	69875	15.9%
1	69476	15.8%
2	66571	15.1%
3	52729	12.0%
4	38750	8.8%
5	24918	5.7%
10	23900	5.4%
7	23870	5.4%
9	23630	5.4%
8	23559	5.3%

Value	Count	Frequency (%)
0	69875	15.9%
1	69476	15.8%
2	66571	15.1%
3	52729	12.0%
4	38750	8.8%
5	24918	5.7%
6	23554	5.3%
7	23870	5.4%
8	23559	5.3%
9	23630	5.4%

Value	Count	Frequency (%)
10	23900	5.4%
9	23630	5.4%
8	23559	5.3%
7	23870	5.4%
6	23554	5.3%
5	24918	5.7%
4	38750	8.8%
3	52729	12.0%
2	66571	15.1%
1	69476	15.8%

Payment Delay
Real number (ℝ)

Zeros

Distinct	31
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	12.965722

Minimum	0
Maximum	30
Zeros	16904
Zeros (%)	3.8%
Negative	0
Negative (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	12
Q3	19
95-th percentile	28
Maximum	30
Range	30
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.2580625
Coefficient of variation (CV)	0.63691499
Kurtosis	-0.89567824
Mean	12.965722
Median Absolute Deviation (MAD)	6
Skewness	0.26740713
Sum	5715705
Variance	68.195597
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
12	17198	3.9%
11	17185	3.9%
20	17175	3.9%
13	17095	3.9%
14	17078	3.9%
10	17051	3.9%
7	17027	3.9%
18	17027	3.9%
3	17025	3.9%
1	17021	3.9%
Other values (21)	269950	61.2%

Value	Count	Frequency (%)
0	16904	3.8%
1	17021	3.9%
2	16822	3.8%
3	17025	3.9%
4	16938	3.8%
5	16744	3.8%
6	16954	3.8%
7	17027	3.9%
8	16892	3.8%
9	16869	3.8%

Value	Count	Frequency (%)
30	8590	1.9%
29	8446	1.9%
28	8299	1.9%
27	8178	1.9%
26	8383	1.9%
25	8362	1.9%
24	8325	1.9%
23	8323	1.9%
22	8454	1.9%
21	8670	2.0%

Subscription Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	26.8 MiB

Standard	149128
Premium	148678
Basic	143026

Length

Max length	8
Median length	7
Mean length	6.6893964
Min length	5

Characters and Unicode

Total characters	2948900
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Standard
2nd row	Basic
3rd row	Basic
4th row	Standard
5th row	Basic

Common Values

Value	Count	Frequency (%)
Standard	149128	33.8%
Premium	148678	33.7%
Basic	143026	32.4%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
standard	149128	33.8%
premium	148678	33.7%
basic	143026	32.4%

Most occurring characters

Value	Count	Frequency (%)
a	441282	15.0%
d	298256	10.1%
r	297806	10.1%
m	297356	10.1%
i	291704	9.9%
S	149128	5.1%
n	149128	5.1%
t	149128	5.1%
e	148678	5.0%
P	148678	5.0%
Other values (4)	577756	19.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2948900	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	441282	15.0%
d	298256	10.1%
r	297806	10.1%
m	297356	10.1%
i	291704	9.9%
S	149128	5.1%
n	149128	5.1%
t	149128	5.1%
e	148678	5.0%
P	148678	5.0%
Other values (4)	577756	19.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2948900	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	441282	15.0%
d	298256	10.1%
r	297806	10.1%
m	297356	10.1%
i	291704	9.9%
S	149128	5.1%
n	149128	5.1%
t	149128	5.1%
e	148678	5.0%
P	148678	5.0%
Other values (4)	577756	19.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2948900	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	441282	15.0%
d	298256	10.1%
r	297806	10.1%
m	297356	10.1%
i	291704	9.9%
S	149128	5.1%
n	149128	5.1%
t	149128	5.1%
e	148678	5.0%
P	148678	5.0%
Other values (4)	577756	19.6%

Contract Length
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	27.1 MiB

Annual	177198
Quarterly	176530
Monthly	87104

Length

Max length	9
Median length	7
Mean length	7.398932
Min length	6

Characters and Unicode

Total characters	3261686
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Annual
2nd row	Monthly
3rd row	Quarterly
4th row	Monthly
5th row	Monthly

Common Values

Value	Count	Frequency (%)
Annual	177198	40.2%
Quarterly	176530	40.0%
Monthly	87104	19.8%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
annual	177198	40.2%
quarterly	176530	40.0%
monthly	87104	19.8%

Most occurring characters

Value	Count	Frequency (%)
n	441500	13.5%
l	440832	13.5%
u	353728	10.8%
a	353728	10.8%
r	353060	10.8%
y	263634	8.1%
t	263634	8.1%
A	177198	5.4%
Q	176530	5.4%
e	176530	5.4%
Other values (3)	261312	8.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3261686	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	441500	13.5%
l	440832	13.5%
u	353728	10.8%
a	353728	10.8%
r	353060	10.8%
y	263634	8.1%
t	263634	8.1%
A	177198	5.4%
Q	176530	5.4%
e	176530	5.4%
Other values (3)	261312	8.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3261686	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	441500	13.5%
l	440832	13.5%
u	353728	10.8%
a	353728	10.8%
r	353060	10.8%
y	263634	8.1%
t	263634	8.1%
A	177198	5.4%
Q	176530	5.4%
e	176530	5.4%
Other values (3)	261312	8.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3261686	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	441500	13.5%
l	440832	13.5%
u	353728	10.8%
a	353728	10.8%
r	353060	10.8%
y	263634	8.1%
t	263634	8.1%
A	177198	5.4%
Q	176530	5.4%
e	176530	5.4%
Other values (3)	261312	8.0%

Total Spend
Real number (ℝ)

Distinct	68363
Distinct (%)	15.5%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	631.61622

Minimum	100
Maximum	1000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	100
5-th percentile	177
Q1	480
median	661
Q3	830
95-th percentile	965.8945
Maximum	1000
Range	900
Interquartile range (IQR)	350

Descriptive statistics

Standard deviation	240.803
Coefficient of variation (CV)	0.38124892
Kurtosis	-0.75148884
Mean	631.61622
Median Absolute Deviation (MAD)	172.55
Skewness	-0.45717408
Sum	2.7843664 × 10⁸
Variance	57986.085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
234	269	0.1%
432	267	0.1%
703	266	0.1%
139	265	0.1%
845	265	0.1%
581	265	0.1%
133	263	0.1%
534	262	0.1%
613	262	0.1%
269	261	0.1%
Other values (68353)	438187	99.4%

Value	Count	Frequency (%)
100	100	< 0.1%
100.02	1	< 0.1%
100.06	1	< 0.1%
100.07	1	< 0.1%
100.08	1	< 0.1%
100.09	2	< 0.1%
100.11	1	< 0.1%
100.12	2	< 0.1%
100.13	2	< 0.1%
100.16	3	< 0.1%

Value	Count	Frequency (%)
1000	111	< 0.1%
999.99	5	< 0.1%
999.98	2	< 0.1%
999.97	3	< 0.1%
999.96	7	< 0.1%
999.95	2	< 0.1%
999.94	5	< 0.1%
999.93	4	< 0.1%
999.92	6	< 0.1%
999.91	2	< 0.1%

Last Interaction
Real number (ℝ)

Distinct	30
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	14.480868

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	7
median	14
Q3	22
95-th percentile	29
Maximum	30
Range	29
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.5962077
Coefficient of variation (CV)	0.59362517
Kurtosis	-1.1537597
Mean	14.480868
Median Absolute Deviation (MAD)	7
Skewness	0.17677405
Sum	6383630
Variance	73.894787
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
7	16914	3.8%
14	16771	3.8%
8	16762	3.8%
15	16750	3.8%
6	16746	3.8%
1	16727	3.8%
12	16722	3.8%
3	16711	3.8%
5	16710	3.8%
10	16685	3.8%
Other values (20)	273334	62.0%

Value	Count	Frequency (%)
1	16727	3.8%
2	16663	3.8%
3	16711	3.8%
4	16570	3.8%
5	16710	3.8%
6	16746	3.8%
7	16914	3.8%
8	16762	3.8%
9	16532	3.8%
10	16685	3.8%

Value	Count	Frequency (%)
30	12654	2.9%
29	12567	2.9%
28	12754	2.9%
27	12787	2.9%
26	12823	2.9%
25	12603	2.9%
24	12893	2.9%
23	12644	2.9%
22	12690	2.9%
21	12645	2.9%

Churn
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	25.2 MiB

1.0	249999
0.0	190833

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1322496
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	249999	56.7%
0.0	190833	43.3%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	249999	56.7%
0.0	190833	43.3%

Most occurring characters

Value	Count	Frequency (%)
0	631665	47.8%
.	440832	33.3%
1	249999	18.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1322496	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	631665	47.8%
.	440832	33.3%
1	249999	18.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1322496	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	631665	47.8%
.	440832	33.3%
1	249999	18.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1322496	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	631665	47.8%
.	440832	33.3%
1	249999	18.9%

	Age	Churn	Contract Length	CustomerID	Gender	Last Interaction	Payment Delay	Subscription Type	Support Calls	Tenure	Total Spend	Usage Frequency
Age	1.000	0.432	0.122	-0.163	0.066	0.026	0.051	0.006	0.169	-0.010	-0.070	-0.006
Churn	0.432	1.000	0.434	0.949	0.175	0.172	0.402	0.020	0.615	0.078	0.496	0.059
Contract Length	0.122	0.434	1.000	0.291	0.068	0.047	0.112	0.007	0.169	0.023	0.136	0.016
CustomerID	-0.163	0.949	0.291	1.000	0.166	-0.125	-0.243	0.013	-0.470	0.044	0.334	0.038
Gender	0.066	0.175	0.068	0.166	1.000	0.156	0.063	0.003	0.097	0.011	0.077	0.012
Last Interaction	0.026	0.172	0.047	-0.125	0.156	1.000	0.039	0.001	0.075	-0.007	-0.052	-0.005
Payment Delay	0.051	0.402	0.112	-0.243	0.063	0.039	1.000	0.004	0.146	-0.015	-0.104	-0.013
Subscription Type	0.006	0.020	0.007	0.013	0.003	0.001	0.004	1.000	0.008	0.039	0.007	0.000
Support Calls	0.169	0.615	0.169	-0.470	0.097	0.075	0.146	0.008	1.000	-0.027	-0.199	-0.021
Tenure	-0.010	0.078	0.023	0.044	0.011	-0.007	-0.015	0.039	-0.027	1.000	0.017	-0.027
Total Spend	-0.070	0.496	0.136	0.334	0.077	-0.052	-0.104	0.007	-0.199	0.017	1.000	0.017
Usage Frequency	-0.006	0.059	0.016	0.038	0.012	-0.005	-0.013	0.000	-0.021	-0.027	0.017	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	CustomerID	Age	Gender	Tenure	Usage Frequency	Support Calls	Payment Delay	Subscription Type	Contract Length	Total Spend	Last Interaction	Churn
0	2.0	30.0	Female	39.0	14.0	5.0	18.0	Standard	Annual	932.0	17.0	1.0
1	3.0	65.0	Female	49.0	1.0	10.0	8.0	Basic	Monthly	557.0	6.0	1.0
2	4.0	55.0	Female	14.0	4.0	6.0	18.0	Basic	Quarterly	185.0	3.0	1.0
3	5.0	58.0	Male	38.0	21.0	7.0	7.0	Standard	Monthly	396.0	29.0	1.0
4	6.0	23.0	Male	32.0	20.0	5.0	8.0	Basic	Monthly	617.0	20.0	1.0
5	8.0	51.0	Male	33.0	25.0	9.0	26.0	Premium	Annual	129.0	8.0	1.0
6	9.0	58.0	Female	49.0	12.0	3.0	16.0	Standard	Quarterly	821.0	24.0	1.0
7	10.0	55.0	Female	37.0	8.0	4.0	15.0	Premium	Annual	445.0	30.0	1.0
8	11.0	39.0	Male	12.0	5.0	7.0	4.0	Standard	Quarterly	969.0	13.0	1.0
9	12.0	64.0	Female	3.0	25.0	2.0	11.0	Standard	Quarterly	415.0	29.0	1.0

	CustomerID	Age	Gender	Tenure	Usage Frequency	Support Calls	Payment Delay	Subscription Type	Contract Length	Total Spend	Last Interaction
440823	449990.0	48.0	Male	11.0	27.0	1.0	18.0	Standard	Annual	618.28	5.0
440824	449991.0	41.0	Male	46.0	25.0	3.0	2.0	Standard	Quarterly	619.79	15.0
440825	449992.0	41.0	Male	27.0	20.0	2.0	12.0	Standard	Quarterly	634.17	27.0
440826	449993.0	49.0	Male	37.0	23.0	4.0	16.0	Standard	Annual	666.65	30.0
440827	449994.0	45.0	Male	6.0	25.0	2.0	15.0	Basic	Annual	837.00	2.0
440828	449995.0	42.0	Male	54.0	15.0	1.0	3.0	Premium	Annual	716.38	8.0
440829	449996.0	25.0	Female	8.0	13.0	1.0	20.0	Premium	Annual	745.38	2.0
440830	449997.0	26.0	Male	35.0	27.0	1.0	5.0	Standard	Quarterly	977.31	9.0
440831	449998.0	28.0	Male	55.0	14.0	2.0	0.0	Standard	Quarterly	602.55	2.0
440832	449999.0	31.0	Male	48.0	20.0	1.0	14.0	Premium	Quarterly	567.77	21.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample